发明授权
- 专利标题: Systems and methods for dataset recommendation in a zero-trust computing environment
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申请号: US18169867申请日: 2023-02-15
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公开(公告)号: US12111951B2公开(公告)日: 2024-10-08
- 发明人: Mary Elizabeth Chalk , Robert Derward Rogers
- 申请人: BeeKeeperAI, Inc.
- 申请人地址: US TX Austin
- 专利权人: BeeKeeperAI, Inc.
- 当前专利权人: BeeKeeperAI, Inc.
- 当前专利权人地址: US TX Austin
- 代理商 Kang S. Lim
- 主分类号: G06F16/22
- IPC分类号: G06F16/22 ; G06F16/2458 ; G06F21/60 ; G06F21/62 ; G16H50/70
摘要:
Systems and methods for recommendation of cohort sample sets is provided. In some embodiments, a set of dataset requirements is received as a required vector set. The historical vector sets are queried. Each vector set corresponds to a known dataset. The difference between the required vector set and each of the historical vector sets is calculated by framing the distance as a p-value in a hypothesis test, compared against a threshold. The historical vector set with the least difference to the required vector set is identified. The least difference is calculated as a count of differing classes or as a numerically weighted summation of differing classes.
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